ABSTRACT

To assess the condition of infrastructure such as bridges, highways, and pipelines, trained inspectors typically perform visual inspections with site visits. However, this conventional method can interrupt the regular functioning of the infrastructure as well as be time-consuming, laborious, expensive, and dangerous. To address these problems, this study proposes an immersive metaverse-based infrastructure remote virtual inspection platform. Based on a 3D digital twin model created through digital photogrammetry, this study generates an immersive metaverse to support collaborations between stakeholders for remote inspections. In addition, this study synchronizes a virtual reality (VR) headset with an unmanned aerial vehicle to remotely inspect infrastructure conditions at the target location using augmented real-time images mapped onto the digital twin model. The conducted experiments provided evidence that users equipped with VR headsets were able to see the 3D digital twin model of the infrastructure as if they were physically present on the sites. Within the metaverse space, users could easily navigate to specific areas and conduct inspection tasks by viewing both the digital twin model and real-time images through the proposed platform. The outcomes of this study hold the potential to enhance the efficiency and safety of infrastructure inspection.

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REFERENCES

Benzon, H. H., X. Chen, L. Belcher, O. Castro, K. Branner, and J. Smit. 2022. “An Operational Image-Based Digital Twin for Large-Scale Structures.” Applied Sciences, 12 (7): 3216. Multidisciplinary Digital Publishing Institute. https://doi.org/10.3390/APP12073216.
Congress, S. S. C., J. Escamilla, H. Chimauriya, and A. J. Puppala. 2022. “Challenges of 360° Inspection of Bridge Infrastructure Using Unmanned Aerial Vehicles (UAVs).” International Conference on Transportation and Development 2022, 6: 96–108. ASCE, Reston, VA. https://doi.org/10.1061/9780784484364.009.
Congress, S. S. C., and A. J. Puppala. 2021. “Digital Twinning Approach for Transportation Infrastructure Asset Management Using UAV Data.” International Conference on Transportation and Development 2021, 321–331. ASCE, Reston, VA. https://doi.org/10.1061/9780784483534.028.
Davila Delgado, J. M., L. Oyedele, P. Demian, and T. Beach. 2020. “A research agenda for augmented and virtual reality in architecture, engineering and construction.” Advanced Engineering Informatics, 45: 101122. Elsevier. https://doi.org/10.1016/J.AEI.2020.101122.
He, F., T. Zhou, W. Xiong, S. M. Hasheminnasab, and A. Habib. 2018. “Automated aerial triangulation for UAV-based mapping.” Remote Sens (Basel), 10 (12). https://doi.org/10.3390/rs10121952.
Jang, K., J. W. Kim, K. B. Ju, and Y. K. An. 2021. “Infrastructure BIM Platform for Lifecycle Management.” Applied Sciences, 11 (21): 10310. Multidisciplinary Digital Publishing Institute. https://doi.org/10.3390/APP112110310.
Jones, D., C. Snider, A. Nassehi, J. Yon, and B. Hicks. 2020. “Characterising the Digital Twin: A systematic literature review.” CIRP J Manuf Sci Technol, 29: 36–52. Elsevier. https://doi.org/10.1016/J.CIRPJ.2020.02.002.
Kim, J., and Y. Ham. 2020. “Vision-Based Analysis of Utility Poles Using Drones and Digital Twin Modeling in the Context of Power Distribution Infrastructure Systems.” Construction Research Congress 2020, 954–963. ASCE, Reston, VA.
Lattanzi, D., and G. Miller. 2017. “Review of Robotic Infrastructure Inspection Systems.” Journal of Infrastructure Systems, 23 (3): 1–16. https://doi.org/10.1061/(asce)is.1943-555x.0000353.
Linn, C., S. Bender, J. Prosser, K. Schmitt, and D. Werth. 2018. “Virtual remote inspection - A new concept for virtual reality enhanced real-time maintenance.” Proceedings of the 2017 23rd International Conference on Virtual Systems and Multimedia, VSMM 2017, 2018-Janua: 1–6. https://doi.org/10.1109/VSMM.2017.8346304.
Lu, W., L. Wu, J. Xu, and J. Lou. 2022. “Construction E-Inspection 2.0 in the COVID-19 Pandemic Era: A Blockchain-Based Technical Solution.” Journal of Management in Engineering, 38 (4): 04022032. ASCE. https://doi.org/10.1061/(ASCE)ME.1943-5479.0001063.
Mystakidis, S. 2022. “Metaverse.” Encyclopedia, 2 (1): 486–497. Multidisciplinary Digital Publishing Institute. https://doi.org/10.3390/ENCYCLOPEDIA2010031.
Sierra, C., S. Paul, A. Rahman, and A. Kulkarni. 2022. “Development of a Cognitive Digital Twin for Pavement Infrastructure Health Monitoring.” Infrastructures, 7 (9): 113. MDPI. https://doi.org/10.3390/infrastructures7090113.
Zhang, C., Y. Zou, F. Wang, E. del Rey Castillo, J. Dimyadi, and L. Chen. 2022. “Towards fully automated unmanned aerial vehicle-enabled bridge inspection: Where are we at?” Constr Build Mater, 347: 128543. Elsevier. https://doi.org/10.1016/J.CONBUILDMAT.2022.128543.

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Construction Research Congress 2024
Pages: 319 - 328

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Published online: Mar 18, 2024

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Inbae Jeong, Ph.D. [email protected]
1Dept. of Mechanical Engineering, North Dakota State Univ., Fargo, ND. Email: [email protected]
Youjin Jang, Ph.D., A.M.ASCE [email protected]
2Dept. of Civil, Construction, and Environmental Engineering, North Dakota State Univ., Fargo, ND. Email: [email protected]
Jisoo Park, Ph.D. [email protected]
3Dept. of Built Environment, Indiana State Univ., Terre Haute, IN. Email: [email protected]
Kyle Nietfeld [email protected]
4Dept. of Mechanical Engineering, North Dakota State Univ., Fargo, ND. Email: [email protected]
5Dept. of Mechanical Engineering, North Dakota State Univ., Fargo, ND. Email: [email protected]
Hyosoo Moon, Ph.D., P.E., M.ASCE [email protected]
6Dept. of Civil, Architectural, and Environmental Engineering, North Carolina A&T State Univ., Greensboro, NC. Email: [email protected]

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